351 to 375 of 2,041 Kubernetes Jobs

. Experience in building scalable and automated cloud platforms on AWS. Familiarity with infrastructure automation tools (CloudFormation, Terraform, Ansible). Knowledge of containerisation technologies and orchestration platforms (e.g., Docker, Kubernetes, ECS). Experience with Jenkins pipelines. Advocacy for best practices and familiarity with tools that support them. Strong communication skills and a collaborative spirit. Ability to work independently as a More ❯

and attention to detail. • Strong communication and collaboration skills, with the ability to work effectively in a team environment. Preferred Qualifications: • Experience with microservices architecture and containerization (e.g., Docker, Kubernetes). • Familiarity with Agile development methodologies. • Knowledge of additional programming languages or frameworks is a plus. Pay Details: $65.00 to $88.00 per hour Search managed by: William Staadt Benefit offerings More ❯

in designing & developing modular frontend experiences, working with non-technical partners such as User Experience and demoing work to stakeholders. Familiarity with CICD, containerisation, deployment technologies & cloud platforms (Jenkins, Kubernetes, Docker, AWS). Excellent communication, collaboration & problem solving skills, ideally with some experience in agile ways of working. Security clearance: You must be able to gain and maintain the highest More ❯

developing software in Java, JavaScript or Python Understanding of Cloud-based architectures in AWS or Azure Use of DevOps Automated Deployment tools such as Jenkins, Gitlab, Docker, OpenShift or Kubernetes Understanding of database technologies such as SQL, Elasticsearch or MongoDB Role clearance type: You must currently hold the highest level of UK Government clearance Our requirement team is on hand More ❯

to have, our team can help you develop in the following skills: Exposure to event-driven architectures and stream processing systems (Kafka) Prior experience with containerization and orchestration (Docker, Kubernetes) Familiarity with cloud platforms (AWS, Azure, GCP) and SaaS products Our commitment to you! BMC's culture is built around its people. We have 6000+ brilliant minds working together across More ❯

with platforms such as SICS or DXC Assure. Familiarity with ACORD standards and reinsurance-specific workflows like treaty management and retrocession. Exposure to containerization tools such as Docker or Kubernetes . Relevant certifications in Java development, AWS, or DevOps tools are a plus. Experience with cloud modernisation and legacy system migration. What We Can Offer You: Competitive Compensation & Pension Scheme More ❯

Experience Strong ability to independently troubleshoot, reproduce issues and identify possible workarounds in broad, complex, and unique environments with mixed applications and protocols required Experience with containers, orchestrators like Kubernetes, Docker, Linux, Cloud Providers (AWS, Azure, GCP), CI/CD, Terraform, Ansible, Container Registries, Serverless a plus Existing knowledge of, and experience with public cloud platform (XaaS) features, capabilities, and More ❯

/CD, AWS CodePipeline, and Code Deploy, experience with revision control source code repositories (Git, SVN, Mercurial, Perforce). - Containerize applications using Docker, and manage container orchestration platforms like Kubernetes (EKS) or AWS Elastic Container Service (ECS) or Argo CD. PREFERRED QUALIFICATIONS - AWS experience preferred, with proficiency in a wide range of AWS services (e.g., EC2, S3, RDS, Lambda, IAM More ❯

Boot, TypeScript, React orrelated technologies. Design, develop, test, and deploy high-quality back-end services using Java and related technologies. Develop containerized applications using Docker and deploy them in Kubernetes environments. Implement Domain-Driven Design (DDD) principles to create well-structured, domain-focused systems that reflect business requirements. Practice Test-Driven Development (TDD), ensuring that code is thoroughly tested and More ❯

pipeline development SQL and NoSQL databases Distributed computing frameworks (Spark, Kinesis etc) Software development best practices including CI/CD, TDD and version control. Containerisation tools like Docker or Kubernetes Experience with Infrastructure as Code tools (e.g. Terraform or CloudFormation) Strong understanding of data modelling and system architecture Demonstrable experience on at least one AI/ML project Knowledge of More ❯

mentor developers with lesser experience Desired Skills Experience developing in and deploying to a Cloud environment (such as Amazon Web Services) Experience with Ruby on Rails Experience with Docker, Kubernetes or similar tools Experience with JMS (e.g., IBM MQ, ActiveMQ) Security Clearance An active CBP clearance is required to start. More About B&A: Notable Clients B&A has grown More ❯

for workflow management, Kafka for data pipelines, Bitbucket for source control, Jenkins for continuous integration, Grafana + Prometheus for metrics collection, ELK for log shipping and monitoring, Docker and Kubernetes for containerisation, OpenStack for our private cloud, Ansible and Terraform for architecture automation, and Slack for internal communication. We heavily utilise our in-house developed DataFrame Database. Our technology list More ❯

Git and development tools, including deployment pipelines. Understanding of AGILE software development methodologies and use of standard software development tool suites. Preferred Skills and Experience: Experience with Docker and Kubernetes Experience with Virtual Machines Experience with Networking Experience monitoring application performance with metrics (Prometheus, InfluxDB, Grafana) and logs with ELK Stack (ElasticSearch, Logstash, Kibana) Have, or obtain Security+ certification or More ❯

and microservices architecture Expert in data pipeline platforms (Apache Kafka, Airflow, Spark) Proficient in both SQL (PostgreSQL, MySQL) and NoSQL (Elasticsearch, MongoDB) databases Strong containerization and orchestration skills (Docker, Kubernetes) Experience with infrastructure as code (Terraform, CloudFormation) Expertise in building real-time streaming architectures Experience building production AI systems handling sensitive data Knowledge of AI safety, bias detection, and ethical More ❯

. Familiarity with data processing tools and platforms (e.g., SQL, Apache Spark, Hadoop). Knowledge of cloud computing services (e.g., AWS, Google Cloud, Azure) and containerization technologies (e.g., Docker, Kubernetes) is a plus. Hugging Face Ecosystem: Demonstrated experience using Hugging Face tools such as the Transformers library, Datasets, and Tokenizers. Familiarity with integrating pre-trained models and fine-tuning them More ❯

Frontend Technologies - React, Material UI Backend & Application Frameworks - Go, Node, RabbitMQ Databases - Postgres, MariaDB, MongoDB, ClickHouse, Redis, JupyterLab, Metabase Data Engineering & Orchestration - Python, Airflow, Kafka, DataHub Cloud & Infrastructure - AWS, K8s DevOps & CI/CD - Git, GitLab CI, DBS, Grafana, ELK, Prometheus, Docker, Docker Compose Why join us? Shape the future of a data business at the forefront of global payments More ❯

JavaScript (Node.js), Ruby, C++ Developer tooling; Full stack CI/CD, GitLab, Jenkins, Sonatype Nexus Knowledge and working experience of containerising application components including writing DockerFiles and deploying to Kubernetes Deep understanding of pipelines as code Observability concepts and tooling; Opensearch, Cribl, Grafana, Prometheus, CloudWatch Experience of working with agile teams Job Band & Level: Manager/7 Not The Perfect More ❯

help you with them Machine Learning softwaree.g. Amazon and Azure machine learning, or Google'sTensorFlow Deploying and managing in Cloud Computing such as AWS, MS Azure Containerisation e.g. Docker, Kubernetes Relational, document, or graph database systems Software configuration and deployment e.g. Ansible How we will support you Work-life balance is important; you can work around core hours with flexible More ❯

with them Machine Learning software e.g. Amazon and Azure machine learning, or Google's TensorFlow Deploying and managing in Cloud Computing such as AWS, MS Azure Containerisation e.g. Docker, Kubernetes Relational, document, or graph database systems Software configuration and deployment e.g. Ansible How we will support you Work-life balance is important; you can work around core hours with flexible More ❯

stakes environment. Minimum of 1-2 years of work experience with alerting and monitoring tools(AppD, Kibana, DataDog) and building standards. Minimum of 1-2 years of OCP/Kubernetes experience. Experience as part of an Agile engineering or development team. Familiarity with CI/CD pipelines with Jenkins or similar; Git/GitHub; Artifactory. Proven skills in high availability More ❯

stakes environment. Minimum of 1-2 years of work experience with alerting and monitoring tools(AppD, Kibana, DataDog) and building standards. Minimum of 1-2 years of OCP/Kubernetes experience. Experience as part of an Agile engineering or development team. Familiarity with CI/CD pipelines with Jenkins or similar; Git/GitHub; Artifactory. Proven skills in high availability More ❯

the telecommunications industry is highly desired, including experience with: Network protocols (e.g., TCP/IP, SIP, Diameter, SS7) Telecom BSS/OSS systems Cloud-native architectures for telecom (e.g., Kubernetes, OpenStack) Wireless or wireline technologies (e.g., 5G, LTE, Fiber Optics) Network function virtualization (NFV) or software-defined networking (SDN) Real-time embedded systems experience in telecom Cybersecurity best practices knowledge More ❯

CI/CD pipelines, with significant experience in GitLab CI/CD Pipelines and debugging complex pipeline issues; Experience of leading the deployment and management of containerised applications using Kubernetes and Kubectl CLI functions; Excellent experience utilising Terraform extensively for declarative infrastructure provisioning across cloud environments; Possess strong Linux Administration & Use skills, particularly with RHEL and Alpine distributions, including managing More ❯

CI/CD pipelines, with significant experience in GitLab CI/CD Pipelines and debugging complex pipeline issues; Experience of leading the deployment and management of containerised applications using Kubernetes and Kubectl CLI functions; Excellent experience utilising Terraform extensively for declarative infrastructure provisioning across cloud environments; Possess strong Linux Administration & Use skills, particularly with RHEL and Alpine distributions, including managing More ❯

CI/CD pipelines, with significant experience in GitLab CI/CD Pipelines and debugging complex pipeline issues; Experience of leading the deployment and management of containerised applications using Kubernetes and Kubectl CLI functions; Excellent experience utilising Terraform extensively for declarative infrastructure provisioning across cloud environments; Possess strong Linux Administration & Use skills, particularly with RHEL and Alpine distributions, including managing More ❯